Assessment of Different Signal Processing Techniques for Classifying Induction Motor Faults Using PCA Features: A Comparative Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s40031-023-00948-2.pdf
Reference36 articles.
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3. T. Ghanbari, Autocorrelation function-based technique for stator turn-fault detection of induction motor. IET Sci. Meas. Technol. 10(2), 100–110 (2016)
4. M.E.H. Benbouzid, A review of induction motors signature analysis as a medium for faults detection. IEEE Trans. Industr. Electron. 47(5), 984–993 (2000)
5. N.R. Devi et al., Detection of stator incipient faults and identification of faulty phase in three-phase induction motor-simulation and experimental verification. Electr Power Appl IET 9(8), 540–548 (2015)
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